AI Engineer - SDLC Process Improvement

Remote • Posted 3 days ago • Updated 7 hours ago
Full Time
Remote
Fitment

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Job Details

Skills

  • Code Review
  • Quality Assurance
  • Workflow
  • Continuous Improvement
  • Process Analysis
  • Machine Learning (ML)
  • Software Development
  • Software Development Methodology
  • Software Engineering
  • DevOps
  • Python
  • PyTorch
  • TensorFlow
  • Artificial Intelligence
  • Testing
  • Process Improvement
  • Evaluation
  • Communication
  • Collaboration
  • Continuous Integration
  • Continuous Delivery
  • A/B Testing

Summary

Pierce Technology Corp is seeking an AI Engineer - SDLC Process Improvement to enhance our software development lifecycle (SDLC) by integrating cutting-edge AI technologies and automating key processes. This role focuses on leveraging AI to streamline development workflows, improve code quality, and accelerate delivery timelines across engineering teams.

Key Responsibilities:
  • Analyze current SDLC processes to identify opportunities for AI-driven improvements and automation.
  • Design and implement AI-powered tools to support code review, testing, deployment, and monitoring.
  • Collaborate with software engineering, QA, and DevOps teams to integrate AI solutions seamlessly into existing workflows.
  • Develop metrics and evaluation frameworks to measure the effectiveness and impact of AI enhancements on SDLC efficiency.
  • Drive continuous improvement initiatives by leveraging data-driven insights and A/B testing of AI tools within the development lifecycle.

This role requires a blend of AI engineering expertise, process analysis skills, and cross-functional collaboration to transform the way our engineering teams build and deliver software.

Requirements
  • Strong foundation in AI/ML techniques and their practical application in software development and automation.
  • Experience with SDLC processes, software engineering best practices, and DevOps principles.
  • Proficiency in Python and relevant AI frameworks such as PyTorch or TensorFlow.
  • Demonstrated ability to design and implement AI-powered tooling for code analysis, testing, or deployment automation.
  • Experience with process improvement methodologies and metrics-driven evaluation.
  • Excellent communication and collaboration skills to work effectively across engineering teams.
  • Bonus: Familiarity with CI/CD pipelines, A/B testing frameworks, and monitoring tools.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: pierce
  • Position Id: 51ad9439fa6f8655e4bbeb78045c64bb
  • Posted 3 days ago
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